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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
HighHighMediumHigh
Timedifferent
Mehrere Wochen2-6 h1-3 h2-6 h
Participantsdifferent
2-6 researchers plus sample3-82-83-10
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage PointsEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
OutcomesInnovationResearchQuantitative
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
CausalityIncidentRoot causeTimeline
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